Clinical Treatment of Refractory Breast Cancer Based on Organoid Drug Sensitivity Results
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Yehui Shi, PhD
- Phone Number: +8618622221183
- Email: shiyehui@tjmuch.com
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Female, aged ≥ 18 years and ≤ 75 years old;
- Breast cancer confirmed by histology or cytology;
- One of the following two conditions shall be met: a) Operable breast cancer: Recurrent progression during adjuvant therapy; or the time from initial treatment to the onset of disease progression is less than or equal to 2 years; b) Non-operable breast cancer: patients who have changed two line treatment plans within 6 months;
- Being able to obtain sufficient fresh tissue specimens for organoid establishment through puncture;
- Expected survival time ≥ 3 months;
- The patient voluntarily joined this study and signed an informed consent form (ICF), with good compliance and cooperation in follow-up.
Exclusion Criteria:
- Pregnant and lactating women;
- Patients who have clinically significant (i.e. active) heart disease (such as congestive heart failure, symptomatic coronary artery disease, arrhythmia, etc.) or myocardial infarction within the past 12 months;
- Individuals with a history of abuse of psychotropic drugs who are unable to quit or have mental disorders;
- The researchers believe that patients are not suitable for inclusion.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Organoid-Guided therapy
All patients will be included in a single-arm.
Participants will undergo biopsy of tumor tissue for subsequent organoid generation and drug sensitivity tests.
|
This study conducts drug sensitivity tests on various clinically approved drugs.
The most sensitive drug for the patient is selected for treatment.
This study aims to evaluate the clinical effectiveness of treatment plans guided by organoid drug sensitivity tests.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Objective Response Rate
Time Frame: 1-2 years
|
Percentage of patient's measurable disease who have achieved either complete response (CR) or partial response (PR) according to RECIST 1.1.
|
1-2 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Progressive free survival
Time Frame: 1-2 years
|
The time from initiation of treatment to the occurrence of disease progression or death.
|
1-2 years
|
|
Overall survival time
Time Frame: 2 years
|
The time from the date of randomization to the date of death for any cause.
Patients will be followed until their date of death or until final database closure.
|
2 years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Yehui Shi, PhD, Tianjin Cancer Hospital
Publications and helpful links
General Publications
- Drost J, Clevers H. Organoids in cancer research. Nat Rev Cancer. 2018 Jul;18(7):407-418. doi: 10.1038/s41568-018-0007-6.
- Li M, Izpisua Belmonte JC. Organoids - Preclinical Models of Human Disease. N Engl J Med. 2019 Feb 7;380(6):569-579. doi: 10.1056/NEJMra1806175. No abstract available.
- Cao W, Chen HD, Yu YW, Li N, Chen WQ. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J (Engl). 2021 Mar 17;134(7):783-791. doi: 10.1097/CM9.0000000000001474.
- Gralow JR, Burstein HJ, Wood W, Hortobagyi GN, Gianni L, von Minckwitz G, Buzdar AU, Smith IE, Symmans WF, Singh B, Winer EP. Preoperative therapy in invasive breast cancer: pathologic assessment and systemic therapy issues in operable disease. J Clin Oncol. 2008 Feb 10;26(5):814-9. doi: 10.1200/JCO.2007.15.3510.
- Loibl S, Poortmans P, Morrow M, Denkert C, Curigliano G. Breast cancer. Lancet. 2021 May 8;397(10286):1750-1769. doi: 10.1016/S0140-6736(20)32381-3. Epub 2021 Apr 1. Erratum In: Lancet. 2021 May 8;397(10286):1710.
- Seidlitz T, Merker SR, Rothe A, Zakrzewski F, von Neubeck C, Grutzmann K, Sommer U, Schweitzer C, Scholch S, Uhlemann H, Gaebler AM, Werner K, Krause M, Baretton GB, Welsch T, Koo BK, Aust DE, Klink B, Weitz J, Stange DE. Human gastric cancer modelling using organoids. Gut. 2019 Feb;68(2):207-217. doi: 10.1136/gutjnl-2017-314549. Epub 2018 Apr 27.
- Romero-Calvo I, Weber CR, Ray M, Brown M, Kirby K, Nandi RK, Long TM, Sparrow SM, Ugolkov A, Qiang W, Zhang Y, Brunetti T, Kindler H, Segal JP, Rzhetsky A, Mazar AP, Buschmann MM, Weichselbaum R, Roggin K, White KP. Human Organoids Share Structural and Genetic Features with Primary Pancreatic Adenocarcinoma Tumors. Mol Cancer Res. 2019 Jan;17(1):70-83. doi: 10.1158/1541-7786.MCR-18-0531. Epub 2018 Aug 31.
- Lei S, Zheng R, Zhang S, Chen R, Wang S, Sun K, Zeng H, Wei W, He J. Breast cancer incidence and mortality in women in China: temporal trends and projections to 2030. Cancer Biol Med. 2021 May 18;18(3):900-9. doi: 10.20892/j.issn.2095-3941.2020.0523. Online ahead of print.
- Potter DA, Herrera-Ponzanelli CA, Hinojosa D, Castillo R, Hernandez-Cruz I, Arrieta VA, Franklin MJ, Yee D. Recent advances in neoadjuvant therapy for breast cancer. Fac Rev. 2021 Jan 4;10:2. doi: 10.12703/r/10-2. eCollection 2021.
- Eiraku M, Watanabe K, Matsuo-Takasaki M, Kawada M, Yonemura S, Matsumura M, Wataya T, Nishiyama A, Muguruma K, Sasai Y. Self-organized formation of polarized cortical tissues from ESCs and its active manipulation by extrinsic signals. Cell Stem Cell. 2008 Nov 6;3(5):519-32. doi: 10.1016/j.stem.2008.09.002.
- Sachs N, de Ligt J, Kopper O, Gogola E, Bounova G, Weeber F, Balgobind AV, Wind K, Gracanin A, Begthel H, Korving J, van Boxtel R, Duarte AA, Lelieveld D, van Hoeck A, Ernst RF, Blokzijl F, Nijman IJ, Hoogstraat M, van de Ven M, Egan DA, Zinzalla V, Moll J, Boj SF, Voest EE, Wessels L, van Diest PJ, Rottenberg S, Vries RGJ, Cuppen E, Clevers H. A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity. Cell. 2018 Jan 11;172(1-2):373-386.e10. doi: 10.1016/j.cell.2017.11.010. Epub 2017 Dec 7.
- Dekkers JF, Whittle JR, Vaillant F, Chen HR, Dawson C, Liu K, Geurts MH, Herold MJ, Clevers H, Lindeman GJ, Visvader JE. Modeling Breast Cancer Using CRISPR-Cas9-Mediated Engineering of Human Breast Organoids. J Natl Cancer Inst. 2020 May 1;112(5):540-544. doi: 10.1093/jnci/djz196.
- Chen P, Zhang X, Ding R, Yang L, Lyu X, Zeng J, Lei JH, Wang L, Bi J, Shao N, Shu D, Wu B, Wu J, Yang Z, Wang H, Wang B, Xiong K, Lu Y, Fu S, Choi TK, Lon NW, Zhang A, Tang D, Quan Y, Meng Y, Miao K, Sun H, Zhao M, Bao J, Zhang L, Xu X, Shi Y, Lin Y, Deng C. Patient-Derived Organoids Can Guide Personalized-Therapies for Patients with Advanced Breast Cancer. Adv Sci (Weinh). 2021 Nov;8(22):e2101176. doi: 10.1002/advs.202101176. Epub 2021 Oct 4.
- Chica-Parrado MR, Godoy-Ortiz A, Jimenez B, Ribelles N, Barragan I, Alba E. Resistance to Neoadjuvant Treatment in Breast Cancer: Clinicopathological and Molecular Predictors. Cancers (Basel). 2020 Jul 22;12(8):2012. doi: 10.3390/cancers12082012.
- Norman M, Rivers C, Lee YB, Idris J, Uney J. The increasing diversity of functions attributed to the SAFB family of RNA-/DNA-binding proteins. Biochem J. 2016 Dec 1;473(23):4271-4288. doi: 10.1042/BCJ20160649.
- Hashimoto T, Matsuda K, Kawata M. Scaffold attachment factor B (SAFB)1 and SAFB2 cooperatively inhibit the intranuclear mobility and function of ERalpha. J Cell Biochem. 2012 Sep;113(9):3039-50. doi: 10.1002/jcb.24182.
- Hutter K, Lohmuller M, Jukic A, Eichin F, Avci S, Labi V, Szabo TG, Hoser SM, Huttenhofer A, Villunger A, Herzog S. SAFB2 Enables the Processing of Suboptimal Stem-Loop Structures in Clustered Primary miRNA Transcripts. Mol Cell. 2020 Jun 4;78(5):876-889.e6. doi: 10.1016/j.molcel.2020.05.011.
- Hammerich-Hille S, Bardout VJ, Hilsenbeck SG, Osborne CK, Oesterreich S. Low SAFB levels are associated with worse outcome in breast cancer patients. Breast Cancer Res Treat. 2010 Jun;121(2):503-9. doi: 10.1007/s10549-008-0297-6. Epub 2009 Jan 10.
- Zhen H, Yao Y, Yang H. SAFB2 Inhibits the Progression of Breast Cancer by Suppressing the Wnt/beta-Catenin Signaling Pathway via NFAT5. Mol Biotechnol. 2023 Sep;65(9):1465-1475. doi: 10.1007/s12033-022-00649-z. Epub 2023 Jan 18.
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- TJBCPDO01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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